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this makes it well suited for circuits with strong | nonlinearity | peaked circuits | this makes it well suited for circuits with strong nonlinearity and a high-dimensional set of coupled design parameters |
however these methods are not effectively reconfigurable for linearly connected symmetrical structures layouts of contemporary quantum | computers | quantum error correction | however these methods are not effectively reconfigurable for linearly connected symmetrical structures layouts of contemporary quantum computers usually utilizing more ancilla qubits |
we investigate the semi-discrete optimal transport ot problem where a continuous source measure mu is transported to a discrete target measure nu with particular attention to the | ot | optimal transport | we investigate the semi-discrete optimal transport ot problem where a continuous source measure mu is transported to a discrete target measure nu with particular attention to the ot map approximation |
super-eddington accretion is a crucial phase in the growth of | supermassive | black hole mass | super-eddington accretion is a crucial phase in the growth of supermassive black holes |
in the presence of disturbances this improvement idea renders inverse optimal issf controllers | robust | disturbance observer | in the presence of disturbances this improvement idea renders inverse optimal issf controllers robust to gain variations with the same gain margin of 1 2 inf |
optical variability is a key observational probe for studying the accretion dynamics and central engine physics of active | galactic | active galactic | optical variability is a key observational probe for studying the accretion dynamics and central engine physics of active galactic nuclei agns |
importantly our method operates on probability predictions and event outcomes and | does | learning algorithm | importantly our method operates on probability predictions and event outcomes and does not require under-the-hood access to the machine learning model |
the magnitude of strain and the associated increase in the density of states can be tuned by varying the film | thickness | film thickness | the magnitude of strain and the associated increase in the density of states can be tuned by varying the film thickness as systematically confirmed by x-ray diffraction and photoemission spectroscopy measurements |
we propose tokenization of events and present a tokenizer spiking patches specifically designed for | event | event cameras | we propose tokenization of events and present a tokenizer spiking patches specifically designed for event cameras |
recent advances in data collection and technology enable a deeper understanding of complex urban | commuting | travel information | recent advances in data collection and technology enable a deeper understanding of complex urban commuting yet few studies have rigorously analyzed the temporal stability and origin-destination od heterogeneity of route choice |
predicting the adhesion and delamination strength of carbon films on metals by high-throughput | ab | ab initio calculations | predicting the adhesion and delamination strength of carbon films on metals by high-throughput ab initio calculations |
we demonstrate that a nonlinear sis can improve communication reliability compared to a linear sis by forming complex signal patterns across the | sis | nonlinear sis | we demonstrate that a nonlinear sis can improve communication reliability compared to a linear sis by forming complex signal patterns across the sis surface which provide higher diversity against noise disturbances while still allowing the receiver to discern these patterns |
here we harness the emission of a quantum dot embedded in a micropillar and explore a hybrid approach where the information is encoded on a mixture of single | photons | single photons | here we harness the emission of a quantum dot embedded in a micropillar and explore a hybrid approach where the information is encoded on a mixture of single photons and laser pulses |
we also provide a novel static and dynamic decomposition achieving an o k log n -approximation when the | tree | tree edit distance | we also provide a novel static and dynamic decomposition achieving an o k log n -approximation when the tree edit distance is at most k |
overall they are not yet reliable as standalone zero-shot reasoners but exhibit encouraging signs as complementary visual engines alongside dedicated | reasoning | multimodal reasoning | overall they are not yet reliable as standalone zero-shot reasoners but exhibit encouraging signs as complementary visual engines alongside dedicated reasoning models |
the virial mass of clumps increases exponentially with this normalized | time | massive stars | the virial mass of clumps increases exponentially with this normalized time revealing an accelerating buildup of star-forming gas within protoclusters |
we complement our theoretical results with experiments on various real-world | datasets | real-world datasets | we complement our theoretical results with experiments on various real-world datasets which show that the proposed sketches are lightweight and achieve consistently low error in practice |
among them ones that minimize a regularized p th-order taylor expansion at each step have been shown to possess optimal global complexity which improves as | p | zeroth-order methods | among them ones that minimize a regularized p th-order taylor expansion at each step have been shown to possess optimal global complexity which improves as p increases |
we find a total of 20 mechanisms of third-order | nonlinear | third-order nonlinear | we find a total of 20 mechanisms of third-order nonlinear transport by developing a comprehensive theory that treats the geometric effects and disorder scattering on an equal footing |
weak almost sure convergence and linear convergence are also | established | linear convergence | weak almost sure convergence and linear convergence are also established under standard condition |
images are high-dimensional and lossy or entangled latents make | dynamics | representation learning | images are high-dimensional and lossy or entangled latents make dynamics learning unnecessarily hard |
measuring qubits currently takes milliseconds-much longer than the underlying quantum gate operations-making | readout | qubit readout | measuring qubits currently takes milliseconds-much longer than the underlying quantum gate operations-making readout the primary bottleneck in deploying quantum error correction |
inspired by this principle we introduce a hierarchical multimodal recurrent neural network grounded in predictive | processing | predictive processing | inspired by this principle we introduce a hierarchical multimodal recurrent neural network grounded in predictive processing under the free-energy principle capable of directly integrating over 30 000-dimensional visuo-proprioceptive inputs without dimensionality reduction |
we evaluate 15 foundation models across 79 problems spanning eight academic domains physics mathematics chemistry economics | biology | foundation models | we evaluate 15 foundation models across 79 problems spanning eight academic domains physics mathematics chemistry economics biology statistics calculus and optimization through three experimental phases 1 baseline establishment six models mixtral-8x7b phi-3 llama 3 |
this constraint naturally gives rise to spatial correlations between the states of neighboring nodes as the | infection | infectious individuals | this constraint naturally gives rise to spatial correlations between the states of neighboring nodes as the infection status of connected individuals becomes interdependent |
the circumgalactic medium cgm is host to gas flows into and out of galaxies and regulates galaxy growth but the | multiphase | galaxy cgm | the circumgalactic medium cgm is host to gas flows into and out of galaxies and regulates galaxy growth but the multiphase diffuse gas in this region is challenging to observe |
overall they are not yet reliable as standalone zero-shot reasoners but exhibit encouraging signs as complementary | visual | reasoning capabilities | overall they are not yet reliable as standalone zero-shot reasoners but exhibit encouraging signs as complementary visual engines alongside dedicated reasoning models |
this paper develops a unified theoretical framework for detecting and estimating | boundaries | treatment assignment | this paper develops a unified theoretical framework for detecting and estimating boundaries in treatment effects across both spatial and temporal dimensions |
in all the considered cases the resulting casimir force is attractive and the s-o | coupling | s-o coupling | in all the considered cases the resulting casimir force is attractive and the s-o coupling nu has impact on its magnitude |
stakeholders across 21 european islands were consulted on climate and | land | land use | stakeholders across 21 european islands were consulted on climate and land use change issues affecting ecosystem services |
a higher ionization component is needed for ne | x | ionized gas | a higher ionization component is needed for ne x absorption |
we introduce a hybrid classical-quantum algorithm to compute dynamical correlation functions and excitation spectra in many-body quantum systems with a focus on | molecular | molecular dynamics | we introduce a hybrid classical-quantum algorithm to compute dynamical correlation functions and excitation spectra in many-body quantum systems with a focus on molecular systems |
the code and synthetic dataset are available on | https | training data | the code and synthetic dataset are available on https github |
posterior sampling by combining diffusion | models | diffusion models | posterior sampling by combining diffusion models with annealed langevin dynamics |
while pruning and low-rank approximation have each demonstrated promising performance individually their synergy for llms | remains | llm raters | while pruning and low-rank approximation have each demonstrated promising performance individually their synergy for llms remains underexplored |
these findings demonstrate the potential of ai | agents | ai systems | these findings demonstrate the potential of ai agents to move beyond process partners toward colleagues that share intent strengthen group dynamics and collaborate with humans to advance ideas |
further enhancement of the breakdown voltage was achieved by tunneling leakage management using composite pt cap ptox | pt | ptox pt | further enhancement of the breakdown voltage was achieved by tunneling leakage management using composite pt cap ptox pt 1 |
while their behavior in equilibrium is well-understood theoretically the nonequilibrium regime at | high | molecular dynamics | while their behavior in equilibrium is well-understood theoretically the nonequilibrium regime at high excitation densities-where phenomena like electron-hole liquids emerge - is less explored |
additionally our system enables object-level editing where physical items in the room can be transformed to their | virtual | virtual reality | additionally our system enables object-level editing where physical items in the room can be transformed to their virtual counterparts in a story |
large cities lose their growth edge as urban | systems | large cities | large cities lose their growth edge as urban systems mature |
our work not only clarifies the intimate connection between magnetism and cef in rare-earth compounds but more importantly it reveals a physical pathway to effectively tune | magnetic | magnetic properties | our work not only clarifies the intimate connection between magnetism and cef in rare-earth compounds but more importantly it reveals a physical pathway to effectively tune magnetic anisotropy via anisotropic lattice distortion induced by chemical pressure |
the extent to which different neural or artificial neural networks models rely on equivalent representations to support similar tasks remains a central | question | neural representations | the extent to which different neural or artificial neural networks models rely on equivalent representations to support similar tasks remains a central question in neuroscience and machine learning |
however brain signals infused with prior knowledge and associations exhibit a significant information asymmetry when compared to raw visual features still posing challenges for decoding | fmri | functional connectivity | however brain signals infused with prior knowledge and associations exhibit a significant information asymmetry when compared to raw visual features still posing challenges for decoding fmri representations under the supervision of images |
to overcome this limitation we propose a data | fusion | data fusion | to overcome this limitation we propose a data fusion framework that leverages multiple data sources that are partially aligned with the target distribution |
we highlight critical open questions and practical trade-offs that must be addressed offering multidisciplinary insights from engineering logic and law to guide future developments in legally compliant | autonomous | autonomous driving | we highlight critical open questions and practical trade-offs that must be addressed offering multidisciplinary insights from engineering logic and law to guide future developments in legally compliant autonomous driving systems |
for a sample of masers the basic kinematic equations were solved by including the | galactic | galactic disk | for a sample of masers the basic kinematic equations were solved by including the galactic rotation parameters and the peculiar velocity of the sun as the unknown variables |
by contrast in the unconditional setting diffusion models succeed with only an | l | diffusion models | by contrast in the unconditional setting diffusion models succeed with only an l 2 bound on the score error |
we present glyph-sr a vision-language-guided | diffusion | language models | we present glyph-sr a vision-language-guided diffusion framework that aims to achieve both objectives jointly |
we then propose novel estimators that are | asymptotically | efficiency bound | we then propose novel estimators that are asymptotically efficient achieving this theoretical bound |
however its application is often hindered by low textbf | reward | reinforcement learning | however its application is often hindered by low textbf reward density in deep search scenarios where agents expend significant exploratory costs for infrequent and often null final rewards |
theoretically we show that the generative models within the | bo | generative models | theoretically we show that the generative models within the bo process approximately follow a sequence of distributions which asymptotically concentrate at the global optima under certain conditions |
large language models llms are catalyzing the development of autonomous | ai | artificial intelligence | large language models llms are catalyzing the development of autonomous ai research agents for scientific and engineering discovery |
at the same time large language models llms are | increasingly | language models | at the same time large language models llms are increasingly used in health coaching yet cgm is rarely incorporated as a first-class signal |
in this work we propose portool a reinforcement | learning | reinforcement learning rl | in this work we propose portool a reinforcement learning rl method that encourages a tool-use llm to explore various trajectories yielding the correct answer |
we further analyze birefringent walk-off in | bulk | photonic crystal | we further analyze birefringent walk-off in bulk crystals and demonstrate that its apparent degradation of entanglement such as weakened transverse anti-correlations and inflated reid products can be corrected |
experimental results show that lagmemo s memory module enables effective multi-modal open-vocabulary goal localization and that lagmemo outperforms state-of-the-art methods in multi-goal | visual | visual navigation | experimental results show that lagmemo s memory module enables effective multi-modal open-vocabulary goal localization and that lagmemo outperforms state-of-the-art methods in multi-goal visual navigation |
we illustrate the framework in an empirical application estimating the | causal | causal effects | we illustrate the framework in an empirical application estimating the causal effect of private health insurance on health outcomes |
specifically our dual-stage design includes both third-order nonlinear spectral broadening followed by a dedicated periodically poled | waveguide | waveguide modes | specifically our dual-stage design includes both third-order nonlinear spectral broadening followed by a dedicated periodically poled waveguide section performing efficient broadband intrapulse difference frequency generation |
for ate estimation we estimate the propensity score through direct | bias-correction | bias-correction term | for ate estimation we estimate the propensity score through direct bias-correction term estimation |
the probability of vacuum metastability and artificial | vacuum | vacuum metastable | the probability of vacuum metastability and artificial vacuum decay expert survey results |
this is a concise pedagogical introduction to the dynamic field of | open | quantum networks | this is a concise pedagogical introduction to the dynamic field of open quantum systems governed by markovian master equations |
ai-powered approaches specifically large language models llms natural | language | large language | ai-powered approaches specifically large language models llms natural language processing nlp and generative ai offer transformative solutions and reduce inefficiencies |
distributed quantum computing dqc provides a promising route toward scalable quantum | computation | quantum advantage | distributed quantum computing dqc provides a promising route toward scalable quantum computation where entanglement-assisted locc and circuit knitting represent two complementary approaches |
ai mathematician as a partner in advancing | mathematical | mathematical reasoning | ai mathematician as a partner in advancing mathematical discovery -- a case study in homogenization theory |
including our target star-forming galaxies at z 6 detected by | alma | milky way | including our target star-forming galaxies at z 6 detected by alma are generally very young but more massive and brighter in uv than galaxies identified by only jwst |
2024 develops riesz regression for automatic debiased machine learning which directly estimates the | riesz | riesz representer | 2024 develops riesz regression for automatic debiased machine learning which directly estimates the riesz representer or equivalently the bias-correction term by minimizing the mean squared error |
these findings suggest that geometry and tuning encode brain-region- or model-family-specific signatures while linearly decodable information tends to be more globally shared across | regions | brain regions | these findings suggest that geometry and tuning encode brain-region- or model-family-specific signatures while linearly decodable information tends to be more globally shared across regions or models |
formulas that determine the least favourable spectral density matrices and the minimax robust spectral characteristics are proposed in the case where the spectral density matrices are not exactly known but a class of admissible | spectral | spectral density matrices | formulas that determine the least favourable spectral density matrices and the minimax robust spectral characteristics are proposed in the case where the spectral density matrices are not exactly known but a class of admissible spectral density matrices is given |
more broadly they point to an intrinsic neural signature of adaptive brain function marked by efficient yet flexible network | organization | brain regions | more broadly they point to an intrinsic neural signature of adaptive brain function marked by efficient yet flexible network organization that may support creative and adaptive cognition |
laplace noise user interference while retaining | competitive | signal-to-noise ratio | laplace noise user interference while retaining competitive accuracy under matched conditions |
this work theoretically investigates possibilities of using the stimulated raman adiabatic passage stirap and its variants to control a coherent superposition of | quantum | quantum emitters | this work theoretically investigates possibilities of using the stimulated raman adiabatic passage stirap and its variants to control a coherent superposition of quantum states |
training deep neural networks dnns with backpropagation bp achieves state-of-the-art accuracy but requires global error propagation and full parameterization leading to substantial | memory | deep network | training deep neural networks dnns with backpropagation bp achieves state-of-the-art accuracy but requires global error propagation and full parameterization leading to substantial memory and computational overhead |
our results provide fundamental insights into light-matter | interactions | light-matter interactions | our results provide fundamental insights into light-matter interactions in solids at the nanoscale and are vital for optimally designing the new generation of absorption-based flexible optoelectronic devices |
adaptive channel estimation and quantized feedback for ris assisted optical wireless | communication | communication systems | adaptive channel estimation and quantized feedback for ris assisted optical wireless communication systems |
the p-stationary point enables the development of an efficient algorithm called appa which is guaranteed to converge to a p-stationary point within a finite number of iterations under a single mild assumption namely strong smoothness of the | objective | objective function | the p-stationary point enables the development of an efficient algorithm called appa which is guaranteed to converge to a p-stationary point within a finite number of iterations under a single mild assumption namely strong smoothness of the objective function over the unit box |
this thesis presents a first-principles study of | excitons | electronic structure | this thesis presents a first-principles study of excitons in two-dimensional materials |
these findings suggest that multimorbidity trajectories are shaped by robust shared biological and | epidemiological | comorbidity networks | these findings suggest that multimorbidity trajectories are shaped by robust shared biological and epidemiological mechanisms that transcend national healthcare contexts |
the tri-infrastructure methodology and 79-problem benchmark enable longitudinal tracking of | reasoning | reasoning capabilities | the tri-infrastructure methodology and 79-problem benchmark enable longitudinal tracking of reasoning capabilities as foundation models evolve |
additionally adaptation modulates the properties of the spatio-temporal activity patterns such as temporal and spatial frequencies and the speed of the | traveling | traveling waves | additionally adaptation modulates the properties of the spatio-temporal activity patterns such as temporal and spatial frequencies and the speed of the traveling waves all of which increase with increasing strength |
kinodynamic constraints embedded in the tamp problem are verified by an off-the-shelf | motion | motion planning | kinodynamic constraints embedded in the tamp problem are verified by an off-the-shelf motion planner and physics simulator and a vlm guides exploring a tamp solution and backtracks the search based on visual rendering of the states |
this chapter surveys mtl approaches based on | svm | support vector machines | this chapter surveys mtl approaches based on svm and twsvm highlighting shared representations task regularization and structural coupling strategies |
order-unity star formation efficiencies sfe in early galaxies may explain the overabundance of bright galaxies observed by | jwst | quiescent galaxies | order-unity star formation efficiencies sfe in early galaxies may explain the overabundance of bright galaxies observed by jwst at high redshift |
the edge detection task is essential in image processing aiming to | extract | feature extraction | the edge detection task is essential in image processing aiming to extract relevant information from an image |
phase shifts switches and beam splits allow for the construction of arbitrary | quantum | photonic circuits | phase shifts switches and beam splits allow for the construction of arbitrary quantum gates |
this work aims to reduce this gap by rigorously establishing the global convergence of the sequence generated by ripalm and proving its asymptotic super linear | convergence | superlinear convergence | this work aims to reduce this gap by rigorously establishing the global convergence of the sequence generated by ripalm and proving its asymptotic super linear convergence rate under standard assumptions |
figuring out gas galaxies in enzo foggie xi circumgalactic | o | quiescent galaxies | figuring out gas galaxies in enzo foggie xi circumgalactic o vi emission traces clumpy inflowing recycled gas |
this work establishes a clean dichotomy the optimal time complexity to support central string queries in | compressed | compressed indexing | this work establishes a clean dichotomy the optimal time complexity to support central string queries in compressed space is either theta log n log log n or theta log log n |
our results demonstrate that rigorous boundary detection requires both | theoretical | effect boundaries | our results demonstrate that rigorous boundary detection requires both theoretical derivation from first principles and empirical validation of underlying physical assumptions |
ai-powered approaches specifically large language models llms natural | language | artificial intelligence | ai-powered approaches specifically large language models llms natural language processing nlp and generative ai offer transformative solutions and reduce inefficiencies |
to our knowledge this is the first algorithm to achieve an o log n | competitive | online algorithm | to our knowledge this is the first algorithm to achieve an o log n competitive ratio for non-trivial metrics beyond the i |
our framework unifies riesz regression for automatic | debiased | debiased machine | our framework unifies riesz regression for automatic debiased machine learning covariate balancing targeted maximum likelihood estimation tmle and density-ratio estimation |
the proposed motdiff consists of two key components 1 a new conditional diffusion framework that uses | multi-scale | image fusion | the proposed motdiff consists of two key components 1 a new conditional diffusion framework that uses multi-scale feature maps extracted from a single blurred image as a condition and 2 a new training method that can promote precise identification of a fine-grained motion trajectory consistent estimation of overall sha... |
to systematically analyze these challenges we introduce a taxonomy categorizing existing | approaches | existing approaches | to systematically analyze these challenges we introduce a taxonomy categorizing existing approaches by their theoretical foundations architectural implementations and validation strategies |
to illustrate this we construct a class of structured datasets where incremental adam | provably | sparse autoencoders | to illustrate this we construct a class of structured datasets where incremental adam provably converges to the ell_2 -max-margin classifier in contrast to the ell_ infty -max-margin bias of full-batch adam |
in this paper we introduce a novel emph polybasic speculative | decoding | speculative decoding | in this paper we introduce a novel emph polybasic speculative decoding framework underpinned by a comprehensive theoretical analysis |
in this work we study data-driven stabilization of linear time-invariant | systems | linear control | in this work we study data-driven stabilization of linear time-invariant systems using prior knowledge of system-theoretic properties specifically stabilizability and controllability |
in recent years there has been growing interest in developing robots and | autonomous | autonomous driving | in recent years there has been growing interest in developing robots and autonomous systems that can interact with human in a more natural and intuitive way |
existing automl solutions are unfortunately not directly applicable to time | series | time series classification | existing automl solutions are unfortunately not directly applicable to time series anomaly detection and no evaluation of time series-based approaches for model selection exists |
in this work we present a clear and robust morphological analysis of a | sample | galaxy cgm | in this work we present a clear and robust morphological analysis of a sample of 190 galaxies at z 6 demonstrating that distinct bulge and disk components were already beginning to emerge during this early epoch |
we evaluate our hierarchical reconstruction approach on three examples 1d translational motion 2d rotational motion and dynamic 3d scene deformation via | gaussian | gaussian splatting | we evaluate our hierarchical reconstruction approach on three examples 1d translational motion 2d rotational motion and dynamic 3d scene deformation via gaussian splatting |
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